WebWorld

Name: WebWorld
Author: Alibaba

AlibabaOpen WeightsPending Human Review

WebWorld is Qwen’s open language-world-model family for browser-agent training and evaluation. It predicts environment states in accessibility-tree, HTML, XML, Markdown, and natural-language formats after a sequence of actions. Models built from Qwen3-8B, 14B, and 32B are trained on more than a million real web trajectories using a curriculum that first learns dynamics and then activates causal reasoning. The February16 technical report establishes the published research identity. Apache-2.0 weights and data support simulated long-horizon interaction; this page groups all three routine sizes.

2026-02-16

8B, 14B, 32B

Decoder-only Transformer language world model

Apache-2.0

Compare with other models

Specifications

Parameters: 8B, 14B, 32B
Architecture: Decoder-only Transformer language world model
License: Apache-2.0
Type: text
Modalities: text

Benchmark Scores

Advanced Specifications

Model Family: Qwen
API Access: Not Available
Chat Interface: Not Available
Variants: WebWorld-8B (from Qwen3-8B)WebWorld-14B (from Qwen3-14B)WebWorld-32B (from Qwen3-32B)

Capabilities & Limitations

Capabilities: browser-environment simulationnext-state predictioncausal reasoningmulti-format generation
Known Limitations: Predicted states are simulations rather than verified real browser results.Reported agent training gains depend on the downstream model and evaluation environment.
Notable Use Cases: web-agent trainingsimulation researchagent evaluation

Resources

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Typetext

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